DURGAVENI

Experienced in statistics and proficient in utilizing Excel, Power BI, Python, and SQL to transform raw data into actionable insights. Skilled in creating visually appealing visualizations and reports to effectively communicate findings. Seeking opportunities as a data analyst to contribute expertise in data analysis, reporting, and process improvement to impactful projects.

Data Science trainee, Besant Technologies, 10/01/23, present

Project 1: Using Python

Regression Analysis for Diabetes data, This project aims to predict diabetes via machine learning methods including Linear regression, Logistic regression. This project also aims to propose an effective technique for earlier detection of the diabetes disease using Machine learning algorithms.

Project 2: Using Excel

Product Enquiry form using Excel VBA, The goal of this Excel VBA project is to streamline the process of handling product enquiries by developing a user-friendly and automated form. By leveraging VBA (Visual Basic for Applications) within Excel, the project aims to enhance efficiency, reduce manual errors, and improve the overall experience of managing product inquiries.

Project 3: Using Power BI

Airline delays and cancellations analytics dashboard in Power BI, This project aims to develop a comprehensive analytics dashboard using Power BI to visualize and analyze airline delays and cancellations data. The goal is to provide airlines with actionable insights and facilitate informed decision-making to optimize operations and enhance passenger experience.